{"id":"W6905806251","doi":"10.15468/dl.nsnqcc","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Real world data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001126836,0.001990398,0.001625129,0.005166476,0.001033239,0.002671642,0.002889276,0.002080198,0.1714779],"category_scores_gemma":[0.006337832,0.0009560283,0.001128107,0.01017732,0.0004762062,0.002337552,0.002669867,0.001987586,0.2349519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690295,"about_ca_system_score_gemma":0.002469202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207455,"about_ca_topic_score_gemma":0.03520016,"domain_scores_codex":[0.9988901,0.0001510134,0.000145257,0.0003779746,0.0002549998,0.0001807039],"domain_scores_gemma":[0.99732,0.0007593576,0.0002495539,0.0006817251,0.0006899222,0.0002995024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002840093,0.00001086294,0.0003520763,0.0005339058,0.00001431069,0.00001575974,0.00002487483,0.0001126194,0.0001160915,0.0003893428,0.9971251,0.00127672],"study_design_scores_gemma":[0.0000725046,0.00000749959,0.001756334,0.0001904412,0.00001416298,0.00003750582,0.00007482584,0.0001339459,0.0001933746,0.0007425204,0.9967589,0.00001800349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003558614,0.0000232392,0.00004309501,0.00003236125,0.00001024295,0.000005057012,0.9988847,0.0003391737,0.0006264183],"genre_scores_gemma":[0.0001498612,0.00003099769,0.0001835781,0.00004100038,0.000003133281,0.00004321654,0.9989541,0.0001549398,0.0004390617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8285221,"threshold_uncertainty_score":0.5736508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}